Mac16,9
Geekbench ML Score
16208
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 10:18 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8982
1.68 KIPS |
|
|
Image Classification (F16)
|
100% |
14764
2.76 KIPS |
|
|
Image Classification (I8)
|
99% |
14979
2.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
4218
70.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4101
68.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
4119
68.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
94419
114.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
107311
129.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
108180
131.0 IPS |
|
|
Object Detection (F32)
|
100% |
3748
279.8 IPS |
|
|
Object Detection (F16)
|
100% |
6596
492.4 IPS |
|
|
Object Detection (I8)
|
97% |
3758
280.6 IPS |
|
|
Face Detection (F32)
|
100% |
29505
350.8 IPS |
|
|
Face Detection (F16)
|
97% |
23066
274.3 IPS |
|
|
Face Detection (I8)
|
96% |
23143
275.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
42866
332.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
55246
428.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
58076
450.4 IPS |
|
|
Style Transfer (F32)
|
100% |
191599
252.0 IPS |
|
|
Style Transfer (F16)
|
100% |
159332
209.6 IPS |
|
|
Style Transfer (I8)
|
100% |
160221
210.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15384
549.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39435
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38804
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
2873
4.13 KIPS |
|
|
Text Classification (F16)
|
100% |
4716
6.78 KIPS |
|
|
Text Classification (I8)
|
96% |
4814
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1899
35.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2339
43.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1882
34.6 IPS |
